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danshalev7

3 karma · joined September 20, 2024

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danshalev7··on Greece to ban anonymity on social media
Feels like people will find a workaround and it’ll be another waste of taxpayer money
danshalev7··on Native Graph Queries on Snowflake
Hi HN, I work on FalkorDB, an open-source graph database.

We just launched FalkorDB as a Snowflake Native App. If you find yourself writing recursive CTEs and chains of self-joins to answer multi-hop relationship queries in Snowflake, this gives you Cypher instead. A variable-length path query that takes 80+ lines of SQL becomes about 3 lines of Cypher, and you run it from your Snowflake worksheet without moving data anywhere.

The way it works is you bind your tables through Snowflake's reference binding UI (scoped read access, no manual GRANT statements), and the FalkorDB engine runs on Snowflake Container Services with isolated compute, separate from your warehouse workloads. Data never leaves your Snowflake account.

We'd love to hear from anyone who has dealt with multi-hop traversals in Snowflake, whether you stuck with recursive CTEs, reached for dbt, or tried something else entirely.

danshalev7··on Show HN: TidesDB – A persistent key-value store optimized for modern hardware
Looks interesting!
danshalev7··on Show HN: I built an MCP server using Cloudflare's code mode pattern
Thnx for the FalkorDB shoutout!
danshalev7··on Show HN: VeritasGraph,An on-premise Graph RAG with verifiable source attribution
Very nice project. Consider looking into a graph db with low latency for nice user experience for the question/answer portion of the project. For example: https://github.com/FalkorDB/falkordb
danshalev7··on Show HN: RAG Firewall – retrieval-time guardrails for LangChain/LlamaIndex
Very interesting
danshalev7··on Chat with your graph database in natural language (text2cypher)
Thank you
danshalev7··on Show HN: I replaced vector databases with Git for AI memory (PoC)
Very nice. We tackled the temporal issue "versioned" in your case with a temporal knowledge graph: https://www.falkordb.com/blog/building-temporal-knowledge-gr...
danshalev7··on Chat with your graph database in natural language (text2cypher)
We built an open-source tool that lets you chat with your graph database in plain English: just ask questions and get answers. We combined FalkorDB's speed with a Text-to-Cypher translator and wrapped it all up with APIs you can actually use.

Would love feedback and comments, thank you

danshalev7··on Ask HN: What is your preferred open source graph database?
I would look at FalkorDB also https://falkordb.com
danshalev7··on Show HN: GraphRAG SDK 0.4.0: Simplify RAG with Graph Databases
Nice, which other models does this support?